Recent reviews of automated writing evaluation systems indicate lack of uniformity in the purpose, design, and assessment of such systems. Our work lies at the nexus of critical themes arising from these reviews. We describe our work on eRevise, an automated writing evaluation system focused on elementary students' text-based evidence-use. eRevise…

Automated writing evaluation systems can improve students' writing insofar as students attend to the feedback provided and revise their essay drafts in ways aligned with such feedback. Existing research on revision of argumentative writing in such systems, however, has focused on the types of revisions students make (e.g., surface vs. content)…

Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…

Despite the importance of analytic text-based writing, relatively little is known about how to teach to this important skill. A persistent barrier to conducting research that would provide insight on best practices for teaching this form of writing is a lack of outcome measures that assess students' analytic text-based writing development and that…

The present study extended research on the effectiveness of automated writing evaluation (AWE) systems. Sixth graders were randomly assigned by classroom to an AWE condition that used "Project Essay Grade Writing" (n = 56) or a word-processing condition that used Google Docs (n = 58). Effectiveness was evaluated using multiple metrics:…

This study compares two designs of automated guidance for short essays in an online thermodynamics unit. Students are prompted by automated guidance to either "revisit" evidence in a dynamic model prior or to plan "writing" changes prior to revision. In this paper we specifically examine how receiving either type of guidance…

While automated guidance in online units has been found to successfully support learning, students can sometimes feel alienated rather than motivated due to computerized guidance seeming impersonal. In this study, we explore ways to improve learning and motivation by personalizing adaptive guidance. Standard adaptive guidance is compared to more…

We introduce a cognitive framework for measuring reading comprehension that includes the use of novel summary-writing tasks. We derive NLP features from the holistic rubric used to score the summaries written by students for such tasks and use them to design a preliminary, automated scoring system. Our results show that the automated approach…

The purpose of this technical report is to describe the third operational administration of the Partnership for Assessment of Readiness for College and Careers (PARCC) assessments in the 2016-2017 academic year. PARCC is a state-led consortium creating next-generation assessments that, compared to traditional K-12 assessments, more accurately…

The purpose of this report is to describe the technical qualities of the 2018-2019 operational administration of the English language arts/literacy (ELA/L) and mathematics summative assessments in grades 3 through 8 and high school. The ELA/L assessments focus on reading and comprehending a range of sufficiently complex texts independently and…

The purpose of this report is to describe the technical qualities of the 2018-2019 operational administration of the English language arts/literacy (ELA/L) and mathematics assessments in grades 3 through 8 and high school. New Meridian, in coordination with multiple states and vendors, developed an alternate form of the summative assessment to…

The Partnership for Assessment of Readiness for College and Careers (PARCC) is a state-led consortium designed to create next-generation assessments that, compared to traditional K-12 assessments, more accurately measure student progress toward college and career readiness. The PARCC assessments are aligned to the Common Core State Standards…

Automated scoring by means of Latent Semantic Analysis (LSA) has been introduced lately to improve the traditional human scoring system. The purposes of the present study were to develop a LSA-based assessment system to evaluate children's Chinese sentence construction skills and to examine the effectiveness of LSA-based automated scoring function…

This paper presents a model which can automatically detect a variety of student speech acts as students collaborate within a computer supported collaborative learning environment. In addition, an analysis is presented which gives substantial insight as to how students' learning is associated with students' speech acts, knowledge that will…

This report describes the development of grade norms for timed-writing performance in two modes of writing: persuasive and descriptive. These norms are based on objective and automatically computed measures of writing quality in grammar, usage, mechanics, style, vocabulary, organization, and development. These measures are also used in the…